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Peds Cardio AI Conference

Location: AT&T Executive Education and Conference Center

Address: 1900 University Ave., Austin, Texas 78705 | View Map »

Start Date: Thursday, September 5, 2024 at 5 p.m.

End Date: Saturday, September 7, 2024 at 1:30 p.m.

Contact: Sara Bernier


About the Event

The science and practice of pediatric cardiac care are evolving rapidly through computerization employing artificial intelligence (AI), machine learning and predictive analytic algorithms. The inaugural Peds Cardio AI Conference explores these technologies and their clinical impact, both in present and future states. The conference offers an immersive exploration of the latest advancements in artificial intelligence and their impact on pediatric cardiology and cardiac surgery.

Participants will:

  • Gain insights from expert speakers on topics like signal processing, big data utilization and cardiovascular imaging.
  • Participate in interactive workshop led by industry leaders.
  • Network with fellow clinicians, scientists, technologists and investors who share passion for leveraging technology to enhance patient care.
  • Engage with peers during a poster session.

The conference is geared toward clinicians, clinician scientists, technologists and investors working in the field.

Register and learn more »

Peds Cardio AI Conference is sponsored by UT Dell Medical School and Dell Children’s Medical Center.

For questions, email

Call for Abstracts

Abstract deadline: Aug. 5

Submit poster presentation abstracts for one of the following topics:

  • Signal Processing for Prediction: Innovations and applications in predicting cardiac events and outcomes through advanced signal processing techniques
  • Use of Big Data Sets: Utilization and analysis of large datasets to improve pediatric cardiology diagnostics, treatment, and patient outcomes
  • Language/Natural Language Models: Development and implementation of language models to enhance clinical decision-making and patient care
  • Cardiovascular Imaging: Advances in imaging technologies and AI-driven analysis to better diagnose and treat pediatric cardiac conditions
  • Generative AI: Exploring the potential of generative AI in creating new solutions and improving existing methodologies in cardiac care
  • Consumer/Commercial Technologies: Integrating AI-driven and commercial technologies to support clinical practices and patient engagement

Submit an abstract »

In alignment with UT’s Year of AI, signature events, talks and engagement opportunities highlight research and innovation across a range of disciplines and fields. Learn more about UT’s “Year of AI” initiative and other AI news and campus events at